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<math>\widetilde{CI}(S : X; Y) = MI(S : X | Y) = \frac{1}{2} \log 2 = 0.5 \text{ bit}
<math>\widetilde{CI}(S : X; Y) = MI(S : X | Y) = \frac{1}{2} \log 2 = 0.5 \text{ bit}
</math>
</math>
其中<math>\widetilde{CI}</math> 出现在 （“3.2 Synergy from unique information“，来自【8】如下），再加上等式（5）
it was proposed to use the following function as a measure of synergy:
CI(S : X; Y) = MI(S : X; Y)−min
MIq(S : X; Y) (9)
q∈∆p
where:
∆p = {q(s,x,y) |q(s,x) = p(s,x) ∧q(s,y) = p(s,y)}
denotes the set of all joint distribut
=其他相关指标=
=其他相关指标=